基于蜣螂优化算法的ORC发电系统工质筛选及综合性能评价

彭斌; 徐建委

doi:10.19805/j.cnki.jcspe.2025.240058

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基于蜣螂优化算法的ORC发电系统工质筛选及综合性能评价

综合能源系统 | 更新时间：2026-01-27

- 基于蜣螂优化算法的ORC发电系统工质筛选及综合性能评价
- Working Fluid Selection and System Comprehensive Performance Evaluation of ORC Power Generation System Based on Dung Beetle Optimization Algorithm
- 动力工程学报 2025年45卷第4期页码：635-644
- 作者机构：
  
  兰州理工大学机电工程学院,甘肃,兰州,730000
- 作者简介：
  
  [ "彭斌(1976—),男,新疆伊宁人,教授,博士,研究方向为涡旋机械和低温余热发电,E-mail:pengb2000@163.com" ]
- 基金信息：
  
  国家自然基金资助项目(51966009);国家重点研发计划——"科技助力经济2020"重点专项资助项目(SQ2020YFF042098);甘肃省科技计划资助项目(20YF8GA057);甘肃省优秀博士生项目(22JR5RA235)
- DOI：10.19805/j.cnki.jcspe.2025.240058
  中图分类号： TM61;TP18
- 网络出版：2025-04-28，
  
  纸质出版：2025
- 稿件说明：
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彭斌,徐建委. 基于蜣螂优化算法的ORC发电系统工质筛选及综合性能评价动力工程学报, 2025, 45(4): 635-644 https://doi.

org/10.19805/j.cnki.jcspe.2025.240058
彭斌,徐建委. 基于蜣螂优化算法的ORC发电系统工质筛选及综合性能评价动力工程学报, 2025, 45(4): 635-644 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.240058.

org/10.19805/j.cnki.jcspe.2025.240058 DOI：

摘要

基于有机朗肯循环(ORC)发电系统工质的筛选存在评价指标不一、不能全面反映系统综合性能等问题

在150 ℃热源温度下

依据工质选取原则对工质进行初步筛选

通过MATLAB联立REFPROP9.0建立ORC系统的热力学、热经济和环境模型

采用热效率和效率作为热力学性能指标

单位输出功所需换热面积为热经济性能指标

当量二氧化碳排放量为环保性能指标

对不同工质对系统的热力学性能、热经济性能和环保性能影响进行研究

并通过对比蜣螂优化算法与其余4种常用算法进行工质筛选。结果表明:蒸发温度和冷凝温度对系统的影响较大

蒸发温度升高有利于系统热力学性能的提升

冷凝温度的升高不利于系统的热力学性能和环保性能

过热度只对系统效率影响较大

对环保性能指标影响较小;蒸发温度在100 ℃、冷凝温度在30 ℃时

系统单位输出功所需换热面积最小;R245fa的综合评价函数值远大于其他工质

其综合性能最优。

Abstract

Based on the issues in the selection of working fluids for organic Rankine cycle(ORC) power generation systems

such as inconsistent evaluation criteria and the inability to comprehensively reflect the overall system performance

initial screening of working fluids was conducted according to selection principles at a heat source temperature of 150 ℃. Subsequently

thermodynamic

thermal-economic

and environmental models of the ORC system were established using MATLAB coupled with REFPROP9.0. Thermal efficiency and exergy efficiency were adopted as thermodynamic performance indicators

the required heat transfer area per unit output power was used as the thermal-economic performance indicator

and equivalent carbon dioxide emissions were chosen as the environmental performance indicators. The impacts of different working fluids on the system's thermodynamic

thermal-economic

and environmental performance were studied

and the dung beetle optimization algorithm was compared with the other four commonly used algorithms to select working fluids. Results show that the evaporator and condenser temperatures have significant effects on the system. The increase of evaporator temperature is beneficial for the system's thermodynamic performance

which of condenser temperature is detrimental to thermodynamic performance and environmental performance. Superheat has a significant impact on exergy efficiency but a minor impact on environmental performance indicators. When the evaporator temperature is 100 ℃ and the condenser temperature is 30 ℃

the system achieves the minimum specific heat transfer area per unit output power. The comprehensive evaluation function value of R245fa is much greater than that of other working fluids

indicating that its overall performance is the best.

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references

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